A Integração de LLMs no Desenvolvimento Colaborativo de Software: Uma Análise Sociotécnica no GitHub Discussions
Resumo
A incorporação de Large Language Models (LLMs) ao desenvolvimento de software tem reconfigurado a dinâmicas de interação humano–humano, mas a externalização pública dessas interações em ecossistemas colaborativos permanece pouco explorada. Este estudo investiga por que desenvolvedores compartilham links do ChatGPT no GitHub Discussions, analisando o dataset DevGPT sob o modelo 3C+P (Comunicação, Coordenação, Cooperação e Percepção). A análise temática revela quatro categorias: contextualização de dúvidas, proposição de ideias, proposição de soluções e busca por validação. Os resultados indicam que LLMs atuam como mediadores cognitivos em estágios pré-deliberativos, reconfigurando a comunicação, redistribuindo a carga cooperativa e ampliando a percepção coletiva ao externalizar raciocínios privados. Argumenta-se que essas interações operam como Artefatos de Negociação de Fronteira digitais, redefinindo o papel da IA em ecossistemas colaborativos.
Palavras-chave:
Large Language Models (LLMs), Sistemas Colaborativos, GitHub Discussions
Referências
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Beganovic, A., Jaber, M. A. e Abd Almisreb, A. (2023) Methods and applications of chatgpt in software development: A literature review. Em: Southeast Europe Journal of Soft Computing 12.1, pp. 08–12.
Braun, V. e Clarke, V. (2006) Using thematic analysis in psychology. Em: Qualitative Research in Psychology 3.2, pp. 77–101. DOI: 10.1191/1478088706qp063oa.
Burtch, G., Lee, D. e Chen, Z. (mai. de 2024) The consequences of generative AI for online knowledge communities. en. Em: Scientific Reports 14.1, p. 10413. ISSN: 2045-2322. DOI: 10.1038/s41598-024-61221-0. URL: [link].
Dabbish, L., Stuart, C., Tsay, J. e Herbsleb, J. (fev. de 2012) Social coding in GitHub: transparency and collaboration in an open software repository. Em: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. CSCW ’12. New York, NY, USA: Association for Computing Machinery, pp. 1277–1286. ISBN: 9781450310864. DOI: 10.1145/2145204.2145396.
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S. e Zhang, J. M. (2023) Large language models for software engineering: Survey and open problems. Em: 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE). IEEE, pp. 31–53.
Fuks, H., Raposo, A. B., Gerosa, M. A. e Lucena, C. J. (2005) Applying the 3C model to groupware development. Em: International Journal of Cooperative Information Systems 14.2–3, pp. 299–328. DOI: 10.1142/S0218843005001171. URL: [link].
Gao, C., Hu, X., Gao, S., Xia, X. e Jin, Z. (mai. de 2025) The Current Challenges of Software Engineering in the Era of Large Language Models. Em: ACM Trans. Softw. Eng. Methodol. 34.5, 127:1–127:30. ISSN: 1049-331X. DOI: 10.1145/3712005. URL: [link].
Gerosa, M. A., Fuks, H. e Lucena, C. (2003) Analysis and Design of Awareness Elements in Collaborative Digital Environments: A Case Study in the AulaNet Learning Environment. en. Em: Journal of Interactive Learning Research 14.3. ERIC Number: EJ822238, pp. 315–332.
Guzman, A. L. e Lewis, S. C. (2020) Artificial intelligence and communication: A Human–Machine Communication research agenda. Em: New Media Society 22.1, pp. 70–86. ISSN: 1461-7315. DOI: 10.1177/1461444819858691.
Herbsleb, J. D. (mai. de 2007) Global Software Engineering: The Future of Socio-technical Coordination. Em: Future of Software Engineering (FOSE ’07), pp. 188–198. DOI: 10.1109/FOSE.2007.11. URL: [link].
Hou, X., Zhao, Y., Liu, Y., Yang, Z., Wang, K., Li, L., Luo, X., Lo, D., Grundy, J. e Wang, H. (dez. de 2024) Large Language Models for Software Engineering: A Systematic Literature Review. Em: ACM Trans. Softw. Eng. Methodol. 33.8. ISSN: 1049-331X. DOI: 10.1145/3695988. URL: DOI: 10.1145/3695988.
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M. e Horton, J. (fev. de 2013) The future of crowd work. Em: Proceedings of the 2013 conference on Computer supported cooperative work. CSCW ’13. New York, NY, USA: Association for Computing Machinery, pp. 1301–1318. ISBN: 9781450313315. DOI: 10.1145/2441776.2441923. URL: [link].
Lee, C. P. e Paine, D. (fev. de 2015) From The Matrix to a Model of Coordinated Action (MoCA): A Conceptual Framework of and for CSCW. Em: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work Social Computing. CSCW ’15. New York, NY, USA: Association for Computing Machinery, pp. 179–194. ISBN: 9781450329224. DOI: 10.1145/2675133.2675161. URL: [link].
Mamykina, L., Manoim, B., Mittal, M., Hripcsak, G. e Hartmann, B. (mai. de 2011) Design lessons from the fastest qa site in the west. Em: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI ’11. New York, NY, USA: Association for Computing Machinery, pp. 2857–2866. ISBN: 9781450302289. DOI: 10.1145/1978942.1979366.
Nardi, B. A. (1996) Activity theory and human-computer interaction. Em: Context and consciousness: Activity theory and human-computer interaction 436.1, pp. 7–16.
OpenAI (mar. de 2022). pt-BR. URL: [link] (acesso em 08/02/2026).
Rogers, Y. e Ellis, J. (1994) Distributed Cognition: An Alternative Framework for Analysing and Explaining Collaborative Working. EN. Em: Journal of Information Technology 9.2, pp. 119–128. ISSN: 0268-3962. DOI: 10.1177/026839629400900203.
Shi, M., Wang, G., Zhang, S., Jiang, J. e Xiang, Y. (2025) AISCW: Artificial Intelligence Supported Cooperative Work The New Frontier of CSCW. en. Em: Computer Supported Cooperative Work and Social Computing. Ed. por Sun, H., Fan, H., Gao, Y., Wang, X., Liu, D., Du, B. e Lu, T. Singapore: Springer Nature, pp. 3–17. ISBN: 9789819623730. DOI: 10.1007/978-981-96-2373-0_1.
Stahl, P. (2026). Python Library: Lingua - Language Detector. URL: [link] (acesso em 26/02/2026).
Steinmacher, I., Graciotto Silva, M. A., Gerosa, M. A. e Redmiles, D. F. (mar. de 2015) A systematic literature review on the barriers faced by newcomers to open source software projects. Em: Information and Software Technology 59, p. 2015. ISSN: 0950-5849. DOI: 10.1016/j.infsof.2014.11.001. URL: [link].
Treude, C., Barzilay, O. e Storey, M.-A. (mai. de 2011) How do programmers ask and answer questions on the web? (NIER track). Em: Proceedings of the 33rd International Conference on Software Engineering. ICSE ’11. New York, NY, USA: Association for Computing Machinery, pp. 804–807. ISBN: 9781450304450. DOI: 10.1145/1985793.1985907. URL: [link].
Treude, C. e Storey, M.-A. (2011) Effective communication of software development knowledge through community portals. Em: Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering. ESEC/FSE ’11. New York, NY, USA: Association for Computing Machinery, pp. 91–101. ISBN: 9781450304436. DOI: 10.1145/2025113.2025129. URL: [link].
Whitehead, J. (2007) Collaboration in software engineering: A roadmap. Em: Future of Software Engineering (FOSE’07). IEEE, pp. 214–225.
Xiao, T., Treude, C., Hata, H. e Matsumoto, K. (2024) Devgpt: Studying developer-chatgpt conversations. In 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR).
Yilmaz, R. e Karaoglan Yilmaz, F. G. (ago. de 2023) Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning. Em: Computers in Human Behavior: Artificial Humans 1.2, p. 100005. ISSN: 2949-8821. DOI: 10.1016/j.chbah.2023.100005. URL: [link].
Zhang, H., Wang, S., Chen, T.-H. e Hassan, A. E. (nov. de 2021) Reading Answers on Stack Overflow: Not Enough! Em: IEEE Transactions on Software Engineering 47.11, pp. 2520–2533. ISSN: 1939-3520. DOI: 10.1109/TSE.2019.2954319. URL: [link].
Zhao, W., Shang, W. e Liu, Y. (2025) From Code Completion to Autonomous Pipe-line Orchestration: How LLM-Powered Developer Tools Are Reshaping Software Engineering Workflows. en. Em: American Journal Of Big Data 6.05, pp. 111–139. ISSN: 2688-9994. DOI: 10.71465/ajbd3444. URL: [link].
Zheng, Z., Ning, K., Zhong, Q., Chen, J., Chen, W., Guo, L., Wang, W. e Wang, Y. (2025) Towards an understanding of large language models in software engineering tasks. Em: Empirical Software Engineering 30.2, p. 50.
Publicado
08/06/2026
Como Citar
ZIMMER, Raquel de Souza; MACHADO, Letícia dos Santos; SILVEIRA, Karina Kohl.
A Integração de LLMs no Desenvolvimento Colaborativo de Software: Uma Análise Sociotécnica no GitHub Discussions. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 21. , 2026, Porto Alegre/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 202-216.
ISSN 2326-2842.
DOI: https://doi.org/10.5753/sbsc.2026.20879.
